|A People's Temple meeting with Jim Jones|
Description: Features Jim Jones presiding over a meeting, presumably in Redwood Valley. Members offer testimony and songs in praise of Jim Jones and the Lord.Source: 1 Tape of 1: 3/4 inch videotapeCollection: Media Resources Center CollectionCall Number: VIDEO/C 2328Rights: Copyrighted. Rights are owned by UC Regents. Copyright Holder has given Institution permission to provide access to the digitized work online...
Keywords: californialightandsound; Jones, Jim, 1931-1978; Peoples Temple; Cults--California
|Bijan Pesaran: Transforming sensory inputs into motor acts: Insights from looking, reaching and speaking|
Talk by Bijan Pesaran, Associate Professor of Neural Science, Center for Neural Science, New York University. Given to a joint seminar of The Center for Neural Engineering and Prostheses, and the Redwood Center for Theoretical neuroscience at UC Berkeley. Abstract Sensory motor integration involves transforming a pattern of sensory input to a motor output and is a core neural operation carried out by all nervous systems...
|Byron Yu: Internal model estimation for closed-loop brain-computer interfaces|
Talk by Byron Yu, from the Carnegie Mellon University. Given to a joint seminar of the Redwood Center for Theoretical Neuroscience and the CNEP (Center for Neural Engineering & Prostheses) at UC Berkeley. Abstract The motor system successfully plans and executes sophisticated movements despite sensory feedback delays and effector dynamics that change over time. Behavioral studies suggest that internal models are central to motor control, but neural correlates thereof have thus far been limited...
|Harel Shouval: What does Weber's law tell us about Neural Tuning Curves?|
Talk by Harel Shouval from UT Houston, given to the Redwood Center for Theoretical Neuroscience at UC Berkeley.
|VHVtv: From Combat to Classroom|
This video is about the new Veteran Resource and Opportunity Center (V-ROC) Ribbon Cutting at Cañada College in Redwood City, CA. It shows how colleges can help veterans to make the change From Combat to the Classroom with the support from other veterans who know the challenges and can help with benefits and educational guidence in a low stress environment in order to adjust back into civilian life...
Keywords: VHVtv; Veterans Helping Veterans; Veterans; 2011
|Tom Dean: Scalable Neuroscience and the Brain Activity Mapping Project|
Talk by Tom Dean of Google, Inc. Given to the Redwood Center for Theoretical Neuroscience at UC Berkeley. Annotated slides for the talk are available at: http://cs.brown.edu/people/tld/note/blog/13/04/19/ The website for the course mentioned in the talk is: http://www.stanford.edu/class/cs379c/ Abstract. Since the beginning of the year, the European Union and United States have separately announced major initiatives in brain science...
|Wiktor Młynarski: Statistical Models of Binaural Sounds|
Talk by Wiktor Młynarski, of the Max Planck Institute for Mathematics in the Sciences. Given to the Redwood Center for Theoretical Neuroscience at UC Berkeley. Abstract The auditory system exploits disparities in the sounds arriving at the left and right ear to extract information about the spatial configuration of sound sources. According to the widely acknowledged Duplex Theory, sounds of low frequency are localized based on Interaural Time Differences (ITDs) and localization of high frequenc...
|Mounya Elhilali: Attention at the cocktail party: Neural bases and computational strategies for auditory scene analysis|
Talk by Mounya Elhilali, Johns Hopkins. Given to the Redwood Center for Theoretical Neuroscience at UC Berkeley. Abstract The perceptual organization of sounds in the environment into coherent objects is a feat constantly facing the auditory system. It manifests itself in the everyday challenge faced by humans and animals alike to parse complex acoustic information arising from multiple sound sources into separate auditory streams...
|Dale Purves: How Visual Evolution Determines What We See|
Talk by Dale Purves, Duke University. Given to the Redwood Center for Theoretical Neuroscience at UC Berkeley. Abstract Information about the physical world is excluded from visual stimuli by the nature of biological vision (the inverse optics problem). Nonetheless, humans and other visual animals routinely succeed in their environments. The talk will explain how the assignment of perceptual values to visual stimuli according to the frequency of occurrence of stimulus patterns resolves the inver...
|Chris Hillar: Matrix theory lecture 2013-03-21|
Talk by Chris Hillar of the Redwood Center for Theoretical Neuroscience at UC Berkeley, about matrix theory. Topics are: -finish applications of perron-frobenius to Markov chains and algorithms such as Google's PageRank -more applications of eigenvectors to solving discrete problems: Clustering, Image Segmentation, etc -review of Power Method for finding these eigenvectors in practice (code will be provided)
|Dolores Bozovic: Bifurcations and phase-locking dynamics in the auditory system|
Talk by Dolores Bozovic, UCLA. Given to the Redwood Center for Theoretical Neuroscience at UC Berkeley. Abstract The inner ear constitutes a remarkable biological sensor that exhibits nanometer-scale sensitivity of mechanical detection. The first step in auditory processing is performed by hair cells, which convert movement into electrical signals via opening of mechanically gated ion channels. These cells are operant in a viscous medium, but can nevertheless sustain oscillations, amplify incomi...
|Valero Laparra: Empirical statistical analysis of phases in Gabor filtered natural images|
Talk by Valero Laparra, University of Valencia. Given to the Redwood Center for Theoretical Neuroscience at UC Berkeley. Abstract The talk will show the results of an empirical statistical analysis of images processed by complex Gabor-like filters. The analysis intends to be a compilation of statistical facts, which could be use to better model the human visual system by including phase information...
|Jenny Read: Relating neurons to perception in stereo vision|
Talk by Jenny Read, Newcastle University. Given to the Redwood Center for Theoretical Neuroscience at UC Berkeley. Abstract Stereo “3D” vision refers to the depth perception we have by virtue of viewing the world through two slightly offset eyes. This ability is receiving attention at the moment because advances in digital technology have made it much easier to display high-quality stereo media...
|Goren Gordon: Hierarchical Curiosity Loops – Model, Behavior and Robotics|
Talk by Goren Gordon, Weizman Institute. Given to the Redwood Center for Theoretical Neuroscience at UC Berkeley. Abstract. Autonomously learning about one's own body and its interaction with the environment is a formidable challenge, yet it is ubiquitous in biology: every animal’s pup and every human infant accomplish this task in their first few months of life. Furthermore, biological agents’ curiosity actively drives them to explore and experiment in order to expedite their learning progr...
|Carlos Brody: Neural substrates of decision-making in the rat|
Talk by Carlos Brody, Princeton University. Given to the Redwood Center for Theoretical Neuroscience at UC Berkeley. Abstract Gradual accumulation of evidence is thought to be a fundamental component of decision-making. Over the last 16 years, research in non-human primates has revealed neural correlates of evidence accumulation in parietal and frontal cortices, and other brain areas . However, the circuit mechanisms underlying these neural correlates remains unknown...
|Dibyendu Mandal: An exactly solvable model of Maxwell’s demon|
Talk by Dibyendu Mandal, Physics Dept., University of Maryland (Jarzynski group). Given to the Redwood Center for Theoretical Neuroscience at UC Berkeley. Note: starting at about 45 minutes into the talk, about 7 minutes of audio were lost. Abstract The paradox of Maxwell’s demon has stimulated numerous thought experiments, leading to discussions about the thermodynamic implications of information processing...
|Stuart Hammeroff: Quantum cognition and brain microtubules|
Talk by Stuart Hammeroff, University of Arizona. Given to the Redwood Center for Theoretical Neuroscience at UC Berkeley. Abstract Cognitive decision processes are generally seen as classical Bayesian probabilities, but better suited to quantum mathematics. For example: 1) Psychological conflict, ambiguity and uncertainty can be viewed as (quantum) superposition of multiple possible judgments and beliefs...
|Ali Eslami: Probabilistic models of object shapes|
Talk by Ali Eslami, Univ of Edinburgh. Given at the Redwood Center for Theoretical Neuroscience, at UC Berkeley. Abstract. We address the question of how to build a 'strong' probabilistic model of object shapes (binary silhouettes). We define a strong model as one which meets two requirements: 1. Realism – samples from the model look realistic, and 2. Generalization – the model can generate samples that differ from training examples...
|Daniel Little: An information-theoretic model of learning-driven exploration|
Exit talk by Daniel Little, of UC Berkeley, given to the Redwood Center for Theoretical Neuroscience at UC Berkeley. Announcement about the talk: Tomorrow I will be giving an exit presentation on my work modeling exploration. Instead of reviewing everything from my graduate work I will focus on telling this one story on why approaching exploration from a learning-driven perspective is important. Title: An information-theoretic model of learning-driven exploration Abstract: Psychologists have lon...
|Ian Goodfellow: Joint Training Deep Boltzmann Machines for Classification|
Talk by Ian Goodfellow, University of Montreal. Given to the Redwood Center for Theoretical Neuroscience at UC Berkeley. Abstract. The traditional deep Boltzmann machine training algorithm requires a greedy layerwise pretraining phase. Existing techniques for avoiding greedy pretraining do not perform as well for classification as the layerwise method. I show that 2nd order methods applied to a deterministic training criterion can obtain better classification performance than the existing joint ...
|Marius Pachitariu: Learning visual motion in recurrent neural networks|
Lecture by Marius Pachitariu, Gatsby Institute, University College London. Given to the Redwood Center for Theoretical Neuroscience at UC Berkeley. Abstract. We present a dynamic nonlinear generative model for visual motion based on a latent representation of binary-gated Gaussian variables connected in a network. Trained on sequences of images by an STDP-like rule the model learns to represent different movement directions in different variables...
|Yan Karklin: Efficient coding of images and sounds: Hierarchical processing and biological constraints|
Talk by Yan Karklin, Center for Neural Science, NYU. Given to the Redwood Center for Theoretical Neuroscience at UC Berkeley. Abstract. Efficient coding provides a powerful principle for explaining early sensory processing. Among the successful applications of this theory are models that provide functional explanations for neural responses in the primary visual cortex (Bell & Sejnowski, 1995; Olshausen & Field, 1996) and in the auditory nerve (Smith & Lewicki, 2006)...
|Tom Griffiths: Identifying human inductive biases|
Talk by Tom Griffiths, Psychology Dept. UC Berkeley. Given to the Redwood Center for Theoretical Neuroscience at UC Berkeley. Abstract. People are remarkably good at acquiring complex knowledge from limited data, as is required in learning causal relationships, categories, or aspects of language. Successfully solving inductive problems of this kind requires having good "inductive biases" - constraints that guide inductive inference...
|Jonathan Landy: Mean-field replica theory: review of basics and a new approach|
Talk by Jonathan Landy, UC Santa Barbara. Given to the Redwood Center for Theoretical Neuroscience at UC Berkeley on October 31, 2012. Abstract. Replica theory provides a general method for evaluating the mode of a distribution, and has varied applications to problems in statistical mechanics, signal processing, etc. Evaluation of the formal expressions arising in replica theory represents a formidable technical challenge, but one that physicists have apparently intuited correct methods for hand...
|UC Berkeley VS265 - Neural Computation, lecture 2012-10-29|
Lecture for UC Berkeley Vision Science 265 - Neural Computation. Given October 29, 2012. Guest speaker is Chris Hillar of the Redwood Center for Theoretical Neuroscience at UC Berkeley. Title of the talk is: "Little-Hopfield Memory Storage with Minimum Probability Flow"
|Jaimie Sleigh: Is General Anesthesia a failure of cortical information integration?|
Talk by Jaimie Sleigh, University of Auckland. Given to the Redwood Center for Theoretical Neuroscience at UC Berkeley on Oct. 23, 2012. Abstract. General anesthesia and natural sleep share some commonalities and some differences. Quite a lot is known about the chemical and neuronal effects of general anesthetic drugs. There are two main groups of anesthetic drugs, which can be distinguished by their effects on the EEG...
|Sophie Deneve: Balanced spiking networks can implement dynamical systems with predictive coding|
Talk by Sophie Deneve, of the Laboratoire de Neurosciences cognitives, ENS-INSERM. Given to the Redwood Center for Theoretical Neuroscience at UC Berkeley. Abstract. Neural networks can integrate sensory information and generate continuously varying outputs, even though individual neurons communicate only with spikes---all-or-none events. Here we show how this can be done efficiently if spikes communicate "prediction errors" between neurons...
|Jason Yeatman: The Development of White Matter and Reading Skills|
Talk by Jason Yeatman, Department of Psychology, Stanford University. Given to the Redwood Center for Theoretical Neuroscience at UC Berkeley. Abstract. The development of cerebral white matter involves both myelination and pruning of axons, and the balance between these two processes may differ between individuals. Cross-sectional measures of white matter development mask the interplay between these active developmental processes and their connection to cognitive development...
|Tony Bell: Emergence and Submergence in the Nervous System|
Guest lecture by Tony Bell of the Redwood Center for Theoretical Neuroscience. Given to UC Berkeley Vision Science 265 (VS265) class, on September 12, 2012.
|Ian Stevenson: UC Berkeley VS265 - Neural Computation Lecture 2012-09-10|
Guest lecture by Ian Stevenson, Post Doc in the Redwood Center for Theoretical Neuroscience. Given to UC Berkeley Vision Science 265 class.
|Lucas Theis: Hierarchical models of natural images|
Talk by Werner Reichardt of the Centre for Integrative Neuroscience, Tübingen. Given to the Redwood Center for Theoretical Neuroscience at UC Berkeley. Abstract. Probabilistic models of natural images have been used to solve a variety of computer vision tasks as well as a means to better understand the computations performed by the visual system in the brain. A lot of theoretical considerations and biological observations point to the fact that natural image models should be hierarchically orga...
|Jerome Feldman: The Neural Binding Problem(s)|
Talk by Jerome Feldman, ICSI/Computer Science, UC Berkeley. Given to the Redwood Center for Theoretical Neuroscience at UC Berkeley. Note: The handout for this talk is in the "All Files" section (left side of page). Abstract. The famous Neural Binding Problem (NBP) comprises at least four distinct problems with different computational and neural requirements. This talk will review the current state of work on: General Coordination, Local Feature Binding, Variable Binding, and the Subjective Unit...
|Mitya Chklovskii: Understanding neural coding|
Talk by Mitya Chklovskii of HHMI, Janelia Farm. Given to the Redwood Center for Theoretical Neuroscience at UC Berkeley. Abstract. The efficient coding hypothesis states that the front end properties of sensory systems, such as visual, can be understood from the statistics of natural stimuli. In particular, starting with the decorrelation, or whitening, assumption, Atick et al. and van Hateren attempted to derive the shape of spatio-temporal receptive fields (STRF) in the visual system...
|[East Bay and Northern California, unedited footage] - Golden Gate Films Inc.|
Shot list could use improved locational specifics. 05:27:09:15 Night shot: illuminated multi-pane attraction feature panels with figures and landscapes, rotating. 05:27:16:12 nighttime neon: Crystal Arcade Emporium Eastman Kodak 05:27:23:01 (daytime) Claremont Hotel exterior with parking lot. (scratched) A few different views of the hotel exterior. 05:27:45:27 Berkeley hills residential neighborhood street views...
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|Susanna Still: Predictive power, memory and dissipation in learning systems operating far from thermodynamic equilibrium|
Talk by Susanna Still of the University of Hawaii, Manoa. Given to the Redwood Center for Theoretical Neuroscience at UC Berkeley. Abstract. Understanding the physical processes that underly the functioning of biological computing machinery often requires describing processes that occur far from thermodynamic equilibrium. In recent years significant progress has been made in this area, most notably Jarzynski’s work relation and Crooks’ fluctuation theorem...
|David Sussillo & Valerio Mante: Integration and gating of sensory information is achieved by a single cortical circuit with orthogonal mixed representations|
Talk by David Sussillo and Valerio Mante of the Krishna Shenoy and Bill Newsome labs at Stanford University. Given to the Redwood Center for Theoretical Neuroscience at UC Berkeley. Abstract. Computations in neural circuits are inherently flexible, allowing humans and animals to respond to sensory stimuli with actions that are appropriate in a given context. Fundamental to this flexibility is the ability to integrate only context-relevant sensory information while ignoring irrelevant, distractin...
|David Sivak: Measuring free energy and finding optimal control paths for non-equilibrium systems|
Talk by Dr. David Sivak of Lawrence Berkeley National Laboratory. Given to the Redwood Center for Theoretical Neuroscience at UC Berkeley.
|Daniel Zoran: From Learning Models of Natural Image Patches to Whole Image Restoration|
Talk by Daniel Zoran, from The Hebrew University of Jerusalem. Given to the Redwood Center for Theoretical Neuroscience at UC Berkeley. Abstract. Learning good image priors is of utmost importance for the study of vision, computer vision and image processing applications. Learning priors and optimizing over whole images can lead to tremendous computational challenges. In contrast, when we work with small image patches, it is possible to learn priors and perform patch restoration very efficiently...
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|Elad Schneidman: Sparse high order interaction networks underlie learnable neural population codes|
Talk given by Elad Schneidman, Department of Neurobiology, Weizmann Institute of Science. Given to the Redwood Center for Theoretical Neuroscience at UC Berkeley.
|Aniruddha Das: What Hemodynamics can and cannot tell us about neural activity in the brain|
Talk by Aniruddha Das, Columbia University. Given to the Redwood Center for Theoretical Neuroscience at UC Berkeley. Abstract. Brain imaging is based on measuring not neural activity but rather, brain hemodynamics – local changes in blood volume, blood flow and oxygenation. These hemodynamic signals are understood to reliably report local neural activity. In particular, it is typically assumed that the hemodynamics follow uniformly from local neural responses, with increases in neural activity...
|Ken Nakayama: Subjective Contours|
Talk by Ken Nakayama, Department of Psychology, Harvard University. Given to the Redwood Center for Theoretical Neuroscience at UC Berkeley. Note: many of the demo's required wearing using special stero glasses, with red and green colored filters. The green colored filter goes over the right eye. Abstract: The concept of the receptive field in visual science has been transformative. It fueled great discoveries of the second half of the 20th C, providing the dominant understanding of how the visu...
|Austin Roorda: How the unstable eye sees a stable and moving world|
Talk by Austin Roorda, School of Optometry, UC Berkeley. Given to the Redwood Center for Theoretical Neuroscience at UC Berkeley. Abstract. How is it that the eye can have an exquisite sense of motion even while the retinal image of the stable world during fixation is in constant motion? Several hypotheses have arisen: The “efference-copy” hypothesis holds that efferent signals derived from the opto-motor control circuitry are used to exactly offset the image instability induced by eye-motio...
|Graham Cummins: Design of a Semantic Type System to Facilitate Data Sharing and Analysis Tool Reuse|
Talk by Graham Cummins of Washington State University. Presented at the Redwood Center for Theoretical Neuroscience at UC Berkeley. Abstract. Data sharing between labs, and indeed between disciplines, reduces duplication of effort, facilitates new discoveries, and leads to the development of more flexible, reliable, and reproducible analysis techniques. Initially, a data sharing solution is required to support entry, storage and transfer of data...
|Shinji Nishimoto: Reconstructing visual experiences from brain activity evoked by natural movies|
Talk by Shinji Nishimoto of UC Berkeley. Given to the Redwood Center for Theoretical Neuroscience at UC Berkeley. Abstract. Quantitative modeling of human brain activity can provide crucial insights about cortical representations and can form the basis for brain decoding devices. Recent functional magnetic resonance imaging (fMRI) studies have modeled brain activity elicited by static visual patterns and have reconstructed these patterns from brain activity...
|Culture & History of Yurok and Wiyot Native American Tribes|
Redwood National Park Ranger Jim Wheeler gives a talk and slide show at Eureka Senior Center
Keywords: Access Humboldt; California; Humboldt County; Other
|Moshe Gur: On the unity of perception - How does the brain integrate activity evoked at different cortical loci?|
Talk by Moshe Gur, Dept. of Biomedical Engineering, Technion, Israel Institute of Technology. Given to the Redwood Center for Theoretical Neuroscience at UC Berkeley. Abstract. Any physical device we know, including computers, when comparing A to B must send the information to point C. I have done experiments in three modalities, somato-sensory, auditory, and visual, where 2 different loci at the primary cortex are stimulated and I argue that the "machine" converging hypothesis cannot explain th...
|Michael P. Kilgard: Directing Cortical Plasticity to Understand and Treat Neurological Disease|
Talk by Michael P. Kilgard, Professor of Neuroscience, University of Texas at Dallas. Given to the Redwood Center for Theoretical Neuroscience at UC Berkeley. Abstract: Even simple experiences activate large numbers of neurons in the central nervous system. It is not at all clear how many neurons are needed to generate a sensory percept or how activity among these neurons leads to useful behavior. Training-induced map plasticity seems to suggest that many neurons contribute to the perception of ...
|Test derive of Kathrin Berkner talk|
Testing deriving a new version of the item at: http://www.archive.org/details/Redwood_Center_2011_09_15_Kathrin_Berkner This time, the extension on the video file was set to mpeg4, which hopefully will allow the video playback to work better than when .mp4 extension is used.
|Kathrin Berkner: Multi-aperture computational imaging systems for depth, scientific analysis and human perception|
Talk by Kathrin Berkner, Ricoh Innovations Inc., given to the Redwood Center for Theoretical Neuroscience at UC Berkeley. Abstract. The design of complete imaging systems using a joint design framework have led to significant achievements in terms of reduced system size and cost or enriched imaging features. At Ricoh Innovations we are designing the optical elements and digital processing of an imaging system through optimization that takes the optics, sensor characteristics, and image processin...